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    • E Learning

    E-Learning Courses Online

    Explore e-learning principles for online education. Learn to design and deliver effective digital learning experiences.

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    Build job-relevant skills in under 2 hours with hands-on tutorials.
    Learn from top instructors with graded assignments, videos, and discussion forums.
    Learn a new tool or skill in an interactive, hands-on environment.
    Get in-depth knowledge of a subject by completing a series of courses and projects.
    Earn career credentials from industry leaders that demonstrate your expertise.
    Earn career credentials while taking courses that count towards your Master’s degree.
    Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
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    Explore the E-Learning Course Catalog

    • Status: Free Trial
      Free Trial
      G

      Google

      Foundations of Digital Marketing and E-commerce

      Skills you'll gain: Data Storytelling, Customer experience strategy (CX), Performance Measurement, Data-Driven Decision-Making, E-Commerce, Marketing Strategies, Digital Marketing, Branding, Marketing Channel, Marketing Analytics, Search Engine Marketing, Search Engine Optimization, Social Media Marketing, Target Audience

      4.8
      Rating, 4.8 out of 5 stars
      ·
      28K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Excel Skills for Business

      Skills you'll gain: Microsoft Excel, Dashboard, Excel Formulas, Spreadsheet Software, Data Visualization, Excel Macros, Data Validation, Data Analysis Expressions (DAX), Data Cleansing, Data Modeling, Financial Forecasting, Predictive Modeling, Financial Modeling, Workflow Management, Finance, Data Management, Business Intelligence Software, Consolidation, Data Integrity, Data Entry

      4.9
      Rating, 4.9 out of 5 stars
      ·
      62K reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      McMaster University

      Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential

      Skills you'll gain: Lifelong Learning, Willingness To Learn, Learning Strategies, Growth Mindedness, Mentorship, Adaptability, Professional Development, Personal Development, Productivity, Open Mindset, Resilience, Stress Management, Overcoming Obstacles, Curiosity, Cognitive flexibility

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Deep Learning with PyTorch, Keras and Tensorflow

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Image Analysis, Data Manipulation, Tensorflow, Verification And Validation, Generative AI, Artificial Neural Networks, Data Processing, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Artificial Intelligence, Scientific Visualization, Time Series Analysis and Forecasting, Predictive Modeling, Natural Language Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Data Analyst

      Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Visualization, SQL, Predictive Modeling, Generative AI, Interactive Data Visualization, Exploratory Data Analysis, Data Wrangling, Data Analysis, Big Data, Jupyter, Matplotlib, Statistical Analysis, Pandas (Python Package), IBM Cognos Analytics, Excel Formulas, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      92K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Solution Architecture, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Supervised Learning, Algorithms, Performance Testing, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Preparing for Google Cloud Certification: Machine Learning Engineer

      Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), Apache Airflow, Cloud Infrastructure, CI/CD, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Dataflow, Systems Design, Cloud Platforms, Data Management, Data Governance, Hybrid Cloud Computing, Workflow Management, Application Deployment

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.9K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Structuring Machine Learning Projects

      Skills you'll gain: Deep Learning, Applied Machine Learning, Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Debugging, Artificial Intelligence, Keras (Neural Network Library), Data Quality, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      50K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Neural Networks and Deep Learning

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Computer Vision, Machine Learning, Python Programming, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      123K reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Deep Teaching Solutions

      学会如何学习:帮助你掌握复杂学科的强大智力工具(Learning How to Learn)

      Skills you'll gain: Learning Strategies, Collaboration, Productivity, Willingness To Learn, Human Learning, Mental Concentration, Time Management, Creativity, Growth Mindedness, Problem Solving, Cognitive flexibility, Self-Discipline, Self-Awareness

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.7K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Learning, Knowledge, and Human Development

      Skills you'll gain: Education Software and Technology, Child Development, School Psychology, Pedagogy, Human Development, Higher Education, Learning Theory, Psychology, Student Engagement, Social Sciences

      4.6
      Rating, 4.6 out of 5 stars
      ·
      256 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      The Nuts and Bolts of Machine Learning

      Skills you'll gain: Feature Engineering, Advanced Analytics, Scikit Learn (Machine Learning Library), Predictive Modeling, Unsupervised Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Data Analysis, Performance Tuning, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      517 reviews

      Advanced · Course · 1 - 3 Months

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    1…456…493

    In summary, here are 10 of our most popular e-learning courses

    • Foundations of Digital Marketing and E-commerce: Google
    • Excel Skills for Business: Macquarie University
    • Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential: McMaster University
    • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
    • IBM Data Analyst: IBM
    • Reinforcement Learning: University of Alberta
    • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
    • Structuring Machine Learning Projects: DeepLearning.AI
    • Neural Networks and Deep Learning: DeepLearning.AI
    • 学会如何学习:帮助你掌握复杂学科的强大智力工具(Learning How to Learn): Deep Teaching Solutions

    Frequently Asked Questions about E Learning

    Before starting to learn E-Learning, it may be helpful to possess teaching and technology skills. If you have a basic understanding of Web 2.0 tools and platforms, such as Twitter and Skype used in K-16 instruction, you may have the foundation needed to study advanced E-Learning. If you can keep up with the fast-paced evolution of the E-learning industry, you may already have the skills necessary to learn the subject.‎

    Studying E-Learning could be right for you if you're an educator or trainer who wants to be able to overcome the challenges of effectively integrating online technologies into your teaching. E-Learning could benefit you if you are interested in exploring your level of experience and drawing on your strengths to find the right approaches for you, your students, and your educational context and content. If you want to learn about using multimedia for teaching and learning, encourage student collaboration, and discover how to use formative assessment and feedback by using digital flow tools, studying E-Learning may be right for you. If you want to understand E-Learning concepts, such as cognitive load theory (CLT) and transactional distance design frameworks used for creating technology-enriched and enabled learning environments (TEELE), this topic is the right one for you to study.‎

    One of the common career paths opening up to someone in E-Learning is a learning experience designer creating transformative and complex online learning experiences using technology. Many business sectors are hiring people for E-Learning projects, such as in health care, finance and insurance, government services, software technology, and of course all levels of education. A common career path for someone in E-Learning is in corporate human resources to train and develop employees around the globe. Many common career paths are becoming available for someone in E-Learning. That’s because for over three decades, educators and technologists have made the case for the transformative power of technology in learning, and many societal shifts are making institutions and businesses pay more attention to the concept of new learning in the 21st century.‎

    Related topics to E-Learning that you can study include gaming, which may help you design online learning experiences that will motivate and build teamwork. Another related topic you could study is mobile technology, which helps you understand how people need coursework delivered anywhere and anytime. You can also study cloud authoring, a topic related to E-learning because it helps you understand how to communicate a lot of information to teams. Learning more about video training and technology might be a good option so you can customize your E-Learning content with motivating and engaging visuals.‎

    Online E-Learning courses offer a convenient and flexible way to enhance your knowledge or learn new E-Learning skills. Choose from a wide range of E-Learning courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in E-Learning, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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